Parameter Optimization via Cuckoo Optimization Algorithm of Fuzzy Controller for Liquid Level Control | Zendy

Saeed Balochian | Zendy; Eshagh Ebrahimi | Zendy

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Parameter Optimization via Cuckoo Optimization Algorithm of Fuzzy Controller for Liquid Level Control

Author(s) -

Saeed Balochian,

Eshagh Ebrahimi

Publication year - 2013

Publication title -

journal of engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 20

eISSN - 2314-4912

pISSN - 2314-4904

DOI - 10.1155/2013/982354

Subject(s) - control theory (sociology) , controller (irrigation) , fuzzy logic , matlab , cuckoo , fuzzy control system , computer science , cuckoo search , convergence (economics) , set (abstract data type) , algorithm , point (geometry) , control engineering , mathematical optimization , control (management) , mathematics , engineering , artificial intelligence , zoology , geometry , particle swarm optimization , economic growth , agronomy , economics , biology , programming language , operating system

Cuckoo optimization algorithm (COA) is one of the latest evolutionary algorithms. Finding the best optimal point, rapid convergence, and simplicity in determining algorithm parameters are some merits of COA. In this paper, COA is applied to tuning optimal fuzzy parameters for Sugeno-type fuzzy logic controllers (S-FLCs) which are used for liquid level control. A programmable logic controller (PLC) is used with fuzzy controller. For this purpose, a liquid level control set and PLC have been assembled together. MATLAB/Simulink program has been used to achieve the optimal parameters of the membership functions. The results show clearly that the optimized FLC using COA has better performance compared to manually adjustments of the system parameters for different datasets

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